Probability, Statistics And Modelling in Public Health

by Nikulin, M. S.; Commenges, Daniel; Huber, Catherine; Probabilities, Statistics And Modelling

• ISBN13: 9780387260228
• ISBN10: 0387260226
• Format: Hardcover
• Copyright: 2005-06-01
• Publisher: Springer Nature

Summary

Probability, Statistics and Modelling in Public Health consists of refereed contributions by expert biostatisticians that discuss various probabilistic and statistical models used in public health. Many of them are based on the work of Marvin Zelen of the Harvard School of Public Health. Topics discussed include models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data analysis, accelerated failure models, design and analysis of clinical trials, Bayesian methods, pharmaceutical and environmental statistics, degradation models, epidemiological methods, screening programs, early detection of diseases, and measurement and analysis of quality of life.

Table of Contents

Forward and backward recurrence times and length biased sampling : age specific models	p. 1
Difference between male and female cancer incidence rates : how can it be explained?	p. 12
Non-parametric estimation in degradation-renewal-failure models	p. 23
The impact of dementia and sex on the disablement in the elderly	p. 37
Nonparametric estimation for failure rate functions of discrete time semi-Markov processes	p. 53
Some recent results on joint degradation and failure time modeling	p. 73
Estimation in a Markov chain regression model with missing covariates	p. 90
Tests of fit based on products of spacings	p. 119
A survival model with change-point in both hazard and regression parameters	p. 136
Mortality in varying environment	p. 145
Goodness of fit of a joint model for event time and nonignorable missing longitudinal quality of life data	p. 159
Three approaches for estimating prevalance of cancer with reversibility : application to colorectal cancer	p. 169
On statistics of inverse gamma process as a model of wear	p. 187
Operating characteristics of partial least squares in right-censored data analysis and its application in predicting the change of HIV-I RNA	p. 202
Inference for a general semi-Markov model and a sub-model for independent competing risks	p. 231
Estimation of density for arbitrarily censored and truncated data	p. 246
Statistical analysis of some parametric degradation models	p. 266
Use of statistical modelling methods in clinical practice	p. 280
Degradation-threshold-shock models	p. 286
Comparisons of test statistics arising from marginal analyses of multivariate survival data	p. 299
Nonparametric estimation and testing in survival models	p. 319
Selecting a semi-parametric estimator by the expected log-likelihood	p. 332
Imputing responses that are not missing	p. 350
Bivariate decision processes	p. 364
Weighted logrank tests with multiple events	p. 378
Explained variation and predictive accuracy in general parametric statistical models : the role of model misspecification	p. 392
Optimization of breast cancer screening modalities	p. 405
Sequential analysis of quality of life Rasch measurements	p. 421
Three types of hazard functions curves describes	p. 440
On the analysis of fuzzy life times and quality of life data	p. 446
Statistical inference for two-sample and regression models with heterogeneity effect : a collected-sample perspective	p. 452
Failure distributions associated with general compound renewal damage processes	p. 466
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